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Description
This article is devoted to the research of influence of genetic algorithm key parameters of genetic schemes method on efficiency of optimum decisions search in expert systems. The following parameters of genetic algorithm are considered: number of population, length of binary codes, the mechanism of parental pairs selection, the choice of the reproduction scheme
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01.00.00 Physical-mathematical sciences
Description
In this article application of the method of computerized system-cognitive analysis and its programmatic tooling – system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement
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01.00.00 Physical-mathematical sciences
Description
The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.
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Description
In this article, on a small and evident numerical example, methodological aspects of a process engineering of detection of knowledge from the trial-and-error data explicitly are considered, representation of knowledge and its usage for problem solving of forecasting, decision making and data domain examination in system-cognitive analysis (SC-analysis) and its programmatic toolkit - intellectual "Eidos" system are shown
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Description
The problem of acquisition of computer attacks is considered. It is demonstrated that it is a solution of combinatorial problems, and their solution is bound to fork of solving processes, with search of alternatives that grows fast at thickening of system of regularities. Such search is foregone, but it can be reduced to the reasonable magnitude, allowing solving problems of acquisition of computer attacks. Application of inductive forecasting of statuses will allow to inoculate knowledge base in an automatic mode, to shape the new rules and to delete the old ones
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01.00.00 Physical-mathematical sciences
Description
The article discusses the expansion of artificial intelli-gence "Aidos-Astra" for applications with the empirical data of high dimensionality. Application, written in the language JAVA, allows you to prepare and visualize the information content of the matrix without re-strictions imposed by the architecture of the system "Aidos-Astra "
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